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Author

Mao Queen

Bio: Mao Queen is an academic researcher. The author has contributed to research in topics: Robotic arm. The author has co-authored 1 publications.
Topics: Robotic arm

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TL;DR: This study was designed to build a prototyping and develop algorithms that allow the detection, classification, and movement of objects of a robotic arm of 4 DOF with the following technologies: ArmUno arm structure, Raspberry Pi 3 B+, PiCam 2.1, driver PCA9685 for servomotors, Opencv3, and python.
Abstract: Goals. The present study was designed to build a prototyping and develop algorithms that allow the detection, classification, and movement of objects of a robotic arm of 4 DOF with the following technologies: ArmUno arm structure, Raspberry Pi 3 B+, PiCam 2.1, driver PCA9685 for servomotors, Opencv3, and python. Another goal was to measure the effectiveness of prediction and classification of objects photographed by the robotic arm, using machine learning with the KNN classifier method.